CDMA: principles of spread spectrum communication
CDMA: principles of spread spectrum communication
Teletraffic capacity of hierarchical CDMA cellular networks
Multiaccess, mobility and teletraffic for wireless communications
Principles of Mobile Communication
Principles of Mobile Communication
Wcdma for Umts
Fundamentals of wireless communication
Fundamentals of wireless communication
Wireless Communications
Approximating a Sum of Random Variables with a Lognormal
IEEE Transactions on Wireless Communications
Distributed Antenna Systems with Randomness
IEEE Transactions on Wireless Communications
An investigation of stochastic market equilibrium in cognitive radio networks
IEEE Communications Letters
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A detailed characterization of interference power statistics in CDMA systems is of considerable practical and theoretical interest. Such a characterization for uplink inter-cell interference has been difficult because of transmit power control, randomness in the number of interfering mobile stations, and randomness in their locations. We develop a new method to model the uplink inter-cell interference power as a lognormal distribution, and show that it is an order of magnitude more accurate than the conventional Gaussian approximation even when the average number of mobile stations per cell is relatively large and even outperforms the moment-matched lognormal approximation considered in the literature. The proposed method determines the lognormal parameters by matching its moment generating function with a new approximation of the moment generating function for the inter-cell interference. The method is tractable and exploits the elegant spatial Poisson process theory. Using several numerical examples, the accuracy of the proposed method in modeling the probability distribution of inter-cell interference is verified for both small and large values of interference.